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Online Probability Model Estimation for Video Compression

Abstract: 

Modern video codec uses arithmetic coding for entropy coding. The arithmetic coding asymptotically achieves the entropy bound provided the true probability distribution. Hence the compression efficiency heavily relies on the ability to capture the time-variant probability model in video signals. Variants of first-order linear probability model update schemes have been used in recent generation video codecs. Built on top of those, a multimodal estimation scheme that forms a higher order probability model update has been proposed in this work. We experimentally demonstrate its coding efficiency.

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Paper Details

Authors:
Yue Sun, Jingning Han, Yaowu Xu
Submitted On:
4 June 2020 - 2:27pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Yue Sun
Session:
Session 9
Document Year:
2020
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(20)

paper

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[1] Yue Sun, Jingning Han, Yaowu Xu, "Online Probability Model Estimation for Video Compression", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5016. Accessed: Jun. 07, 2020.
@article{5016-20,
url = {http://sigport.org/5016},
author = {Yue Sun; Jingning Han; Yaowu Xu },
publisher = {IEEE SigPort},
title = {Online Probability Model Estimation for Video Compression},
year = {2020} }
TY - EJOUR
T1 - Online Probability Model Estimation for Video Compression
AU - Yue Sun; Jingning Han; Yaowu Xu
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5016
ER -
Yue Sun, Jingning Han, Yaowu Xu. (2020). Online Probability Model Estimation for Video Compression. IEEE SigPort. http://sigport.org/5016
Yue Sun, Jingning Han, Yaowu Xu, 2020. Online Probability Model Estimation for Video Compression. Available at: http://sigport.org/5016.
Yue Sun, Jingning Han, Yaowu Xu. (2020). "Online Probability Model Estimation for Video Compression." Web.
1. Yue Sun, Jingning Han, Yaowu Xu. Online Probability Model Estimation for Video Compression [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5016